Supervised learning

Results: 1557



#Item
261

Sequential Supervised Learning: General Methods for Sequence Labeling and Segmentation Thomas G. Dietterich Intelligent Systems and Usability Group School of EECS

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Source URL: web.engr.oregonstate.edu

Language: English - Date: 2003-11-30 15:39:41
    262Cybernetics / Cognitive science / Cognition / Computational neuroscience / Applied mathematics / Belief revision / Reinforcement learning / Reinforcement / Machine learning / Supervised learning / Artificial intelligence / Algorithm

    AITF ANNUAL REPORT 2015 DR. RICHARD SUTTON REINFORCEMENT LEARNING AND ARTIFICIAL INTELLIGENCE AITF ANNUAL REPORT MARCH 31, EXECUTIVE SUMMARY

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    Source URL: incompleteideas.net

    Language: English - Date: 2015-05-15 17:33:02
    263

    Doctoral Theses Supervised [7] R. Bose: Modelling Blind Users’ Access to Information. PhD Thesis, The University of Western Ontario, in progress. (Tentative titleW. Köhlmann: Modelling Interactive Learning for

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    Source URL: www.csd.uwo.ca

    Language: English - Date: 2015-10-28 15:36:12
      264Data mining / Anomaly detection / Data security / Networks / Machine learning / Community structure / Supervised learning / Anomaly / Graph drawing / Local outlier factor / Shortest path problem / Outlier

      Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity Ted E. Senator, Henry G. David A.Bader, Edmond Chow, Thomas G. Dietterich, Alan Goldberg, Alex Memory, Irfan Essa, Joshua Jones,

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      Source URL: www.cc.gatech.edu

      Language: English - Date: 2013-06-03 22:19:16
      265Machine learning / Geostatistics / Nonparametric statistics / Gaussian process / Bayesian optimization / Kernel method / Kernel / Pattern recognition / Supervised learning / Kriging / Nonparametric regression / Reproducing kernel Hilbert space

      Gaussian Processes and Kernel Methods (G8325) Fall 2015 https://courseworks.columbia.edu John P. Cunningham

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      Source URL: stat.columbia.edu

      Language: English - Date: 2015-11-15 17:46:49
      266Spam filtering / Machine learning / Computing / Artificial intelligence / Learning / Pattern recognition / Statistical classification / Anti-spam techniques / Supervised learning / Email filtering / Spamming / Email spam

      Genre-based Decomposition of Email Class Noise Aleksander Kołcz Gordon V. Cormack Microsoft Live Labs

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      Source URL: plg.uwaterloo.ca

      Language: English - Date: 2009-05-28 19:02:20
      267Machine learning / Statistics / Roberto Battiti / Learning / Supervised learning / Cognition / Mathematical optimization / Errors and residuals / Global optimization

      ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook

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      Source URL: intelligent-optimization.org

      Language: English - Date: 2015-10-06 09:20:21
      268

      Self-Supervised Learning for Medical Web Disease Reporting Events Detection Avaré Stewart Wolfgang Nejdl

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      Source URL: www.websci11.org

      Language: English
        269Statistics / Machine learning / Computer programming / Distributed computing / File sharing / Artificial neural networks / Computational statistics / Peer-to-peer / Expectationmaximization algorithm / Perceptron / Supervised learning / Stochastic gradient descent

        Gossip Learning with Linear Models on Fully Distributed Data∗ Róbert Ormándi, István Heged˝us, Márk Jelasity University of Szeged and Hungarian Academy of Sciences {ormandi,ihegedus,jelasity}@inf.u-szeged.hu

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        Source URL: www.inf.u-szeged.hu

        Language: English - Date: 2013-02-15 04:43:56
        270Machine learning / Active learning / Semi-supervised learning / Draft:Active Learning

        Active Learning via Reduction To Supervised Classification John Langford (Yahoo! Research) with Alina Beygelzimer (IBM Research) Sanjoy Dasgupta (UCSD) Daniel Hsu (Rutgers & Upenn)

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        Source URL: hunch.net

        Language: English - Date: 2010-11-12 16:53:02
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